Optimisation of new energy vehicle traffic flow and application of hybrid multi-objective evolutionary algorithm based on internet of things simulation of urban mobility simulation platform

Key Points

• The central aim is to enhance traffic flow for new energy vehicles in urban environments through optimisation techniques.
• Utilised a hybrid multi-objective evolutionary algorithm for optimisation.
• Implemented an Internet of Things (IoT) simulation platform to model urban mobility scenarios.
• Analyzed traffic flow data to identify improvements.
• Significant improvement in traffic flow efficiency for new energy vehicles was observed.
• The hybrid algorithm outperformed traditional methods in various simulations.
• Potential reduction in congestion levels within urban areas was suggested.

Abstract